Jamming Effects on Hybrid Multistatic Radar Network Range and Velocity Estimation Errors

Abstract

This research studies the effects of three noise jamming techniques on the performance of a hybrid multistatic radar network in a selection of different electronic warfare (EW) situations. The performance metrics investigated are the range and velocity estimation errors found using the Cramér-Rao lower bounds (CRLBs). The hybrid multistatic network simulated is comprised of a single active radar transmitter, three illuminators of opportunity (IO), a receiver co-located at the active transmitter site, and two separately located silent receivers. Each IO transmits at a unique frequency band commonly used for civilian applications, including Digital Video Broadcasting-Terrestrial (DVB-T), Digital Audio Broadcasting (DAB), and FM radio. Each receiver is capable of receiving signals at all three IO frequency bands as well as the operating frequency band of the active radar transmitter. The investigations included compare the performance of the network at detecting a single flying target under conditions where different combinations of jammer type, operating mode, directivity, and number of jammers operating are used. The performance degradation of the system compared to operation in a non-contested environment is determined and a comparison between the performance of the hybrid multistatic radar with that achievable by a monostatic radar and an active-only multistatic radar network within a selection of contested scenarios is made. Results show that the use of spatially distributed nodes and frequency diversity within the system enable greater theoretical functionality in the presence of jamming over conventional radar systems.

Performance of range and velocity estimation in a multistatic radar network with receiver swarms

“…The reference channel obtains a copy of the transmitted radar waveform directly from the emission from the transmitter, while the surveillance channel obtains the transmitted waveform after reflection from a target in the vicinity. Signal models for the received waveforms at the reference and surveillance channels can therefore be derived by considering the geometry presented in Fig 1 and are given in [5]. In the case where only receiver noise is considered with no additional interference (e.g.…”

“…A radar model was established and tested to find the CRLB on range and velocity estimation errors for multistatic hybrid radar network configurations comprised of relatively few nodes in [4]. A similar model has been used to investigate jamming and intentional interference effects on the bounds for similar parameters achievable by such networks in [5].…”

Joint Active Passive Sensing using a Radio Frequency System-on-a-Chip based sensor

“…This work shows how important geometry and node selection is when fusing the results from such a network. In addition recent research, [12], has a modelled result of a RF sensor network which combines both active and passive nodes. This work also introduced interference within the scenario to try and evaluate how this affects overall fusion of both range and Doppler estimation.…”

Improved Target Localization in Multiwaveform Multiband Hybrid Multistatic Radar Networks

“…passive radar systems also contribute to spectrum management by avoiding transmitting extra radio signals in the already congested frequency spectrum. Furthermore, they are also more robust to electronic countermeasure techniques such as jamming since they make use of the signals of various broadcasting systems operating in significantly different frequency bands [1], [6], [7].…”

“…We previously evaluated range and velocity estimation accuracies in multi-waveform hybrid multistatic radar networks in [15], where CRLBs on the range and velocity estimations were used as performance metrics. Moreover, based on the model established in [15], the impact of the jamming in multi-waveform multistatic radar networks was also investigated [7].…”